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gear
采用matlab算法绘制齿轮副渐开线及过渡曲线，并生成齿廓坐标点(The matlab algorithm is used to draw the involute and transition curves of the gear pair, and the coordinate points of the tooth profile are generated.)
- 2018-03-19 10:27:42下载
- 积分：1
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interpolation
提供mathlab进行插值，数据回归分析等方法(gg)
- 2010-07-21 12:44:04下载
- 积分：1
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bianmiantux
包括表面图形等matlab函数，可以供大家使用(Including graphics such as surface matlab function, you can use for everyone)
- 2009-03-11 15:01:22下载
- 积分：1
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dianlidianzi
电力电子电机控制MATLAB仿真模型，包括矢量控制盒直接转矩控制，以及变流变频等(Power electronic motor control MATLAB simulation model, including vector control box direct torque control, as well as inverter variable frequency)
- 2012-09-21 16:47:03下载
- 积分：1
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myselfpburg01
Burg算法AR谱估计发生谱线分裂现象的仿真验证(Burg algorithm for AR spectral estimation spectral splitting phenomenon in the simulation)
- 2012-08-01 21:51:33下载
- 积分：1
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PskScyB
产生psk调制信号的源程序，并对信号进行成型滤波及上变频(generate PSK modulated signals, and the signals pass the shaping filter and DUC)
- 2013-11-05 11:12:23下载
- 积分：1
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finite_elements_mesh
使用有限元方法对平面进行网格划分
附有程序使用说明(Plane using the finite element method to mesh with program instructions)
- 2010-08-26 17:55:18下载
- 积分：1
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FIR
说明： 采用matlab产生信号波形，实现QPSK编码。(Waveforms generated by matlab to achieve QPSK encoding.)
- 2011-03-03 20:30:15下载
- 积分：1
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Segmentation
高质量的MATLAB源代码 用于虹膜图像分割（Hough变换）(Quality MATLAB source code for the iris image segmentation (Hough transform))
- 2013-04-29 12:02:54下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
